| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Paltakari, Jouni
Aalto University
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2021Effect of single-fiber properties and fiber volume fraction on the mechanical properties of Ioncell fiber compositescitations
- 2021Exploring the possibilities of FDM filaments comprising natural fiber-reinforced biocomposites for additive manufacturingcitations
- 2020Data-Driven Computational Homogenization Method Based on Euclidean Bipartite Matchingcitations
- 2020Mechanical and thermal behavior of natural fiber-polymer composites without compatibilizerscitations
- 2020Comparative screening of the structural and thermomechanical properties of FDM filaments comprising thermoplastics loaded with cellulose, carbon and glass fiberscitations
- 2020Comparative screening of the structural and thermomechanical properties of FDM filaments comprising thermoplastics loaded with cellulose, carbon and glass fiberscitations
- 2019Machine Learning assisted design of tailor-made nanocellulose filmscitations
- 2016Modeling of wood-like cellular materials with a geometrical data extraction algorithmcitations
- 2013The influence of shear on the dewatering of high consistency nanofibrillated cellulose furnishescitations
- 2012Interactions between inorganic nanoparticles and cellulose nanofibrilscitations
Places of action
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article
Modeling of wood-like cellular materials with a geometrical data extraction algorithm
Abstract
An algorithm on geometrical data extraction, material reconstruction and numerical analysis is presented in order to reconstruct the actual wood-like cellular materials and investigate their linear elastic material behavior in the transverse plane under different loading conditions. The algorithm implemented by Mathematica technical computing software is used to read the pixel data of cellular material images with a wide range of material scales, e.g. from micro- to millimeter scale. As a result of this process, geometrical properties including cell wall thicknesses, cell connectivities, vertex and center coordinates are determined. Identified geometrical properties are transferred to Abaqus/CAE computer aided engineering software by using a Python script and also converted into stereolithography STL model format enabling prototype generation and visualization. As an application example, the reconstructed model by means of the algorithm was used to investigate the in-plane effective stiffness properties of Norway spruce earlywood specimens in the frameworks of homogenization and finite element analysis. ; Peer reviewed